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Word Embeddings

Word embedding is the collective name for a set of language modeling and feature learning techniques in natural language processing (NLP) where words or phrases from the vocabulary are mapped to vectors of real numbers.

Techniques for learning word embeddings can include Word2Vec, GloVe, and other neural network-based approaches that train on an NLP task such as language modeling or document classification.

( Image credit: Dynamic Word Embedding for Evolving Semantic Discovery )

Papers

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Showing 1251–1275 of 4002 papers

TitleStatusHype
Multi-SimLex: A Large-Scale Evaluation of Multilingual and Crosslingual Lexical Semantic Similarity—0
Cross-lingual Annotation Projection in Legal TextsCode0
Augmenting NLP models using Latent Feature Interpolations—0
Meta-Embeddings for Natural Language Inference and Semantic Similarity tasks—0
Graph-based Syntactic Word Embeddings—0
Coordination Boundary Identification without Labeled Data for Compound Terms Disambiguation—0
Contextualized Embeddings for Enriching Linguistic Analyses on Politeness—0
Generating Varied Training Corpora in Runyankore Using a Combined Semantic and Syntactic, Pattern-Grammar-based Approach—0
UAlberta at SemEval-2020 Task 2: Using Translations to Predict Cross-Lingual Entailment—0
UZH at SemEval-2020 Task 3: Combining BERT with WordNet Sense Embeddings to Predict Graded Word Similarity Changes—0
Consistent Structural Relation Learning for Zero-Shot Segmentation—0
Embeddings in Natural Language Processing—0
“Shakespeare in the Vectorian Age” – An evaluation of different word embeddings and NLP parameters for the detection of Shakespeare quotes—0
A Co-Attentive Cross-Lingual Neural Model for Dialogue Breakdown DetectionCode0
Improving Word Embeddings through Iterative Refinement of Word- and Character-level Models—0
Learning Negation Scope from Syntactic Structure—0
Assessing Polyseme Sense Similarity through Co-predication Acceptability and Contextualised Embedding Distance—0
Neural Networks approaches focused on French Spoken Language Understanding: application to the MEDIA Evaluation TaskCode0
Comparison between Voting Classifier and Deep Learning methods for Arabic Dialect Identification—0
Amplifying the Range of News Stories with Creativity: Methods and their Evaluation, in Portuguese—0
Combining Word Embeddings with Bilingual Orthography Embeddings for Bilingual Dictionary Induction—0
SHIKEBLCU at SemEval-2020 Task 2: An External Knowledge-enhanced Matrix for Multilingual and Cross-Lingual Lexical Entailment—0
MultiVitaminBooster at PARSEME Shared Task 2020: Combining Window- and Dependency-Based Features with Multilingual Contextualised Word Embeddings for VMWE Detection—0
Multimodal Review Generation with Privacy and Fairness AwarenessCode0
A Simple and Effective Usage of Word Clusters for CBOW ModelCode0
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